A Method of Masking Based on Multiplicative NoiseJeong, Dong-Myeong; Kim, Jay-J.; Kim, Kyung-Mi;

Abstract

According to the type of microdata, the various methods have been in use for masking microdata. Multiplicative noise is the one of popular schemes for masking continuous variables. In this paper, we introduce the method of masking based on multiplicative noise and show some results of the application on the 2006 Householder Income and Expenditure Survey (HIES) data. To create the multiplicative noise factor, we used the triangular distribution. truncated triangular distribution, trapezoidal distribution, and double triangular distribution. Also, formulas for the domain estimation for the data masked by the multiplicative noise are developed.

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Kim, J. (2007). Application of the truncated triangular and trapezoidal distributions for developing multiplicative noise, In Proceedings of the Section on Survey Research Methods, American Statistical Association, CD-ROM

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Kim, J. and Winkler, W. E. (2001). Multiplicative noise for masking continuous data, In Proceedings of the Section on Survey Research Methods, American Statistical Association, CD-ROM